Wearables are amazing at collecting your health metrics, but they don’t give you the context you need to understand what your data means for you or what to do with it. For example, a resting heart rate of 65 bpm means something different for:

• A 25-year-old endurance athlete

• A 50-year-old office worker

• Someone recovering from illness

• Someone experiencing chronic stress

Isolated numbers don’t tell you enough. But that's where AI can help. So, how does raw wearable data get translated into highly specific, science-backed advice?

How Qoluna Turns Health Data Into Personalized Insights

To turn your health data into personalized, science-backed insights, Qoluna has two systems that run concurrently: knowledge ingestion and insight generation.

Knoledge Ingestion

Qoluna draws from over 35 million biomedical articles in the US National Library of Medicine’s PubMed database. First, it fetches the relevant full-text article directly from PubMed. Next, it determines whether it contains an actionable suggestion (e.g., "30 min/day moderate exercise reduces resting heart rate") and pulls the exact supporting quotes. Third, it tags who this applies to: age, sex, health state, and any diseases. 

Then, using NCBI's MedCPT model, it tags the article and stores it in an OpenSearch database, so articles can be retrieved by meaning rather than just keywords. This is the ultimate source of truth the system draws from, and uses research specifically relevant to sleep, heart health, exercise, and lifestyle to ground its advice.

Generating Your Personalized Insight

Using your integrated health data, Qoluna instantly generates your personalized, science-backed insights, action steps, and Health Report. There are a lot of behind-the-scenes processes that need to happen, but they can be summarized in three steps.

Step 1: Qoluna Learns What's Normal for You and Identifies Meaningful Changes

Most health apps compare you to population averages. Qoluna compares you to yourself over time. First, it establishes a personal baseline for your metrics like resting heart rate, HRV, sleep quality, activity levels, and breathing. So, instead of asking, “Is this number normal?” the system asks, “Is this normal for you?”

Next, it measures how far today’s values deviate from your typical patterns. Before Qoluna recommends anything, it evaluates whether changes in your health metrics are truly significant. It looks at your heart rate changes, sleep disruptions, recovery indicators, activity shifts, and breathing patterns and determines if any spikes warrant course correction. This prevents the AI from making false assumptions and from providing inaccurate action steps.

Instead of reacting to every fluctuation, Qoluna identifies meaningful deviations from your personal baseline and prioritizes what matters most.

Step 2: Qoluna Searches Thousands of Scientific Studies and AI Connects Your Data to Scientific Evidence

This is where Qoluna becomes fundamentally different from most health apps.

Qoluna summarizes your vitals into one dense clinical paragraph (in the same style as a medical research abstract). Then, it uses that same paragraph to search in a curated biomedical research library built from PubMed and PubMed Central articles.

But the system doesn’t just pull any article. Qoluna uses specialized biomedical AI models to identify studies most relevant to your experience. For instance, if you are not 65+ years old, a study about older adults won’t apply. So Qoluna filters research based on age, sex, health status, and relevant medical conditions before generating recommendations.

Last, when the platform finds studies relevant to your situation, it attaches them to your insights and action steps, so you know exactly where the information is from.

Step 3: AI Generates A Contextualized, Scientifically-Backed Insight Based On Your Data

Once the most relevant research has been identified, Qoluna's AI synthesizes your personal health insights (sleep trends, heart health metrics, activity levels, and lifestyle indicators), scientific evidence, and your personal context (baseline trends, current deviations, and health profile). Then, the app creates personalized explanations that contextualize your health data with evidence-backed suggestions.What You'll See Inside a Qoluna Health Report

In the Qoluna app, you’ll see your daily Insights and Action Steps, but you can also generate a 90-day Health Report. Every report includes four core health domains:

1. Physical Activity (Movement patterns, exercise trends, and activity recommendations)

2. Heart Health (Heart rate trends, recovery indicators, and cardiovascular insights)

3. Lifestyle (Stress, wellness behaviors, and daily habits that may influence health outcomes)

4. Sleep (Sleep quality, recovery, and evidence-backed sleep recommendations)

Each section includes:

• Key observations

• Data summaries

• Personalized action items

• Supporting research citations

• Questions you can discuss with your healthcare provider

Most people walk into their doctor’s appointment with fragmented information. And the doctor only sees how you’re doing in the moment. With the Health Report, patients can bring a 90-day summary and trends of their data to encourage deeper discussions with their doctors.

The Safeguards in Place to Make Qoluna Trustworthy

Two of the biggest concerns people have about AI-generated health information are the risk of misinformation and inaccurate advice. Because of this, Qoluna was designed with multiple safeguards to help ensure insights are grounded in real research.

Qoluna Cites Sources

Every Insight references real PubMed studies rather than generating generic health advice.

The App Validates Citations

The system verifies that cited studies were retrieved during the research process.

Matches Patient-Aware Research

Research is filtered according to user characteristics before the AI generates recommendations.

Structured Reports

The AI is required to generate complete health reports across four domains rather than producing unstructured responses.

We’ve made several deliberate design choices, so Qoluna’s AI output is reliable in a health context and gives users the confidence to own their health.

Your Health Data Should Be More Than Numbers

You’re collecting raw health metrics every day, but to do anything with them, you need context. Qoluna combines health data, personalized baseline analysis, peer-reviewed research, and AI-powered interpretation to transform raw metrics into actionable, evidence-backed insights.

Ready to learn what your health data is telling you?

Download Qoluna and start receiving contextualized health insights grounded in science and tailored to your personal baseline.